Agent skill
tavily-search
Use Tavily Search API for optimized, real-time web search results for RAG. Requires TAVILY_API_KEY.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/design/tavily-search-closedloop-technolog-awesome-deep-researc
SKILL.md
Tavily Search Skill
This skill utilizes the Tavily Search API, providing clean, real-time web search results optimized for LLMs and RAG pipelines.
Setup
-
Dependencies: Requires
tavily-python.bashpip install tavily-python python-dotenv -
API Key Configuration: Requires
TAVILY_API_KEY.bash# If the script fails due to a missing key, run the following: echo "It seems the Tavily API key is not set up." read -p "Enter your Tavily API key: " TAVILY_KEY echo "TAVILY_API_KEY=$TAVILY_KEY" >> .env if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi echo "API key saved to .env."
Usage
Use the scripts/tavily_search.py script.
Command
python3 scripts/tavily_search.py --query "<query>" [--max-results <N>] [--search-depth <basic|advanced>]
Parameters
--query(Required): The search query.--search-depth(Optional): Defaultbasic. Useadvancedfor intensive research (higher quality, slower).--max-results(Optional): Default 10.
Example
python3 scripts/tavily_search.py --query "autonomous research agents comparison" --search-depth advanced
Output
The script outputs JSON containing a synthesized answer (if requested by the script) and a list of results (URL, title, content snippets).
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